Academic Journal

User-centric AI: evaluating the usability of generative AI applications through user reviews on app stores

التفاصيل البيبلوغرافية
العنوان: User-centric AI: evaluating the usability of generative AI applications through user reviews on app stores
المؤلفون: Reham Alabduljabbar
المصدر: PeerJ Computer Science, Vol 10, p e2421 (2024)
بيانات النشر: PeerJ Inc., 2024.
سنة النشر: 2024
المجموعة: LCC:Electronic computers. Computer science
مصطلحات موضوعية: User-centred design, Usability evaluations, LLMs, Generative AI, User experience, User review, Electronic computers. Computer science, QA75.5-76.95
الوصف: This article presents a usability evaluation and comparison of generative AI applications through the analysis of user reviews from popular digital marketplaces, specifically Apple’s App Store and Google Play. The study aims to bridge the research gap in real-world usability assessments of generative AI tools. A total of 11,549 reviews were extracted and analyzed from January to March 2024 for five generative AI apps: ChatGPT, Bing AI, Microsoft Copilot, Gemini AI, and Da Vinci AI. The dataset has been made publicly available, allowing for further analysis by other researchers. The evaluation follows ISO 9241 usability standards, focusing on effectiveness, efficiency, and user satisfaction. This study is believed to be the first usability evaluation for generative AI applications using user reviews across digital marketplaces. The results show that ChatGPT achieved the highest compound usability scores among Android and iOS users, with scores of 0.504 and 0.462, respectively. Conversely, Gemini AI scored the lowest among Android apps at 0.016, and Da Vinci AI had the lowest among iOS apps at 0.275. Satisfaction scores were critical in usability assessments, with ChatGPT obtaining the highest rates of 0.590 for Android and 0.565 for iOS, while Gemini AI had the lowest satisfaction rate at −0.138 for Android users. The findings revealed usability issues related to ease of use, functionality, and reliability in generative AI tools, providing valuable insights from user opinions and feedback. Based on the analysis, actionable recommendations were proposed to enhance the usability of generative AI tools, aiming to address identified usability issues and improve the overall user experience. This study contributes to a deeper understanding of user experiences and offers valuable guidance for enhancing the usability of generative AI applications.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2376-5992
Relation: https://peerj.com/articles/cs-2421.pdf; https://peerj.com/articles/cs-2421/; https://doaj.org/toc/2376-5992
DOI: 10.7717/peerj-cs.2421
URL الوصول: https://doaj.org/article/6ff225dbf92e4ff6b29ed2545aceb851
رقم الانضمام: edsdoj.6ff225dbf92e4ff6b29ed2545aceb851
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23765992
DOI:10.7717/peerj-cs.2421